Informatics Publishing Limited

Jageshwer Shriwas ¹, Shagufta Farzana ²

Affiliations
1 NRI Institute of Science and Technology, Bhopal (MP), IN
2 Dr. C.V. Raman Institute of Science and Technology, Kota, Bilaspur (CG), IN

Abstract

Stock price prediction is the way of trading indexes with the help of key techniques. These techniques are helpful to all the people who want to know how the stock prices are fluctuate. In this paper we are analyzing index point of NSE with the help of using classification technique of data mining to find the best group and finally this group evaluated with the help of graph based analysis. In graph based analysis we are using the index point to make a graph and find the pattern which is based on daily stock price. This pattern shows new indexes and key point which is average value of all the indexes. Here we are using one year index point of an NSE and analyze it for stock price prediction. This Study perform the prediction of stock market index values as well as daily direction of change in the index.

Keywords

Graph Based Analysis, Prediction, Ruled Based Classification, Stock Price.

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Prashant Sahu ¹, Jageshwer Shriwas ¹, Rohit Miri ¹, Asha Miri ²

Affiliations
1 Department of Computer Science & Engineering, Dr C V Raman University, Bilaspur Chhttishgarh, IN
2 Department of Computer Science & Engineering, Khairagarh, Chhttishgarh, IN

Abstract

Current era is the age of information, we are living in the era which have flood of information. Sometimes we have very large amount of information which is difficult to handle and sometimes cumbersome to find the exact and required information. To achieve this requirement we use data mining techniques. Classification is the most important part of any data mining technique, which delimits the scope of erroneous and irrelevant information. This survey paper gives an snapshot of the some valuable research work which have be done in the area of classification.

Keywords

Naïve Bayes Classifier, SVM, J48 Algorithm, Data Mining, Association Rule.

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